Machine Learning

Supervised Machine Learning algorithms basics and implementation

Using machine learning to solve common challenges in product and data analytics. How to figure out which model to use for which business case.
Introduction and must-know statistical concepts for data analysis and data science
A recap on the proper ways to handle the missing data in your modeling or analysis
A gentle guide for wading into an introduction into the foundation of data architecture, its layers, and systems that enable reporting and analytics
Understanding common distributions - why and when to use them.
Must-know essential statistical concepts that data analysis couldn’t happen without.
A recap of data analysis publications and news over the past month.
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